JRC Data Catalogue
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Crop calendar dataset compatible with satellite-derived land surface phenology

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The national and sub-national crop calendars are based on FAO data and include only crops for which the original calendars match with the ASAP remote sensing based phenology. The dataset contains the start and end dekad (over the 36 dekads in a year) of the planting (sos_s and sos_e), the start and end dekad of growth (sos_e and eos_s) and the start and end dekad of harvest (eos_s and eos_e). The rest of the year is considered out of season.

Contributors

How to cite

Dimou, Maria (2026): Crop calendar dataset compatible with satellite-derived land surface phenology. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.PXQH3Q0 PID: http://data.europa.eu/89h/jrc-10112-10003

Keywords

Agricultural monitoringASAPcrop calendarsGAUL0GAUL1

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • CSV file containg the range of planting, growing and harvesting season at sub-national level.To visualise the information in a GIS environment, use the field asap1_id and join with the spatial layer gaul1_asap (see Dataset Administrative boundaries).

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • CSV file containg the range of planting, growing and harvesting season at national level. To visualise the information in a GIS environment, use the field asap0_id and join with the spatial layer gaul0_asap (see Dataset Administrative boundaries).

Publications

Publication
Dimou, M., Meroni, M. and Rembold, F., Development of a national and sub-national crop calendars data set compatible with remote sensing derived land surface phenology, EUR 29327 EN, Publications Office of the European Union, Luxembourg, 2018, ISBN 978-92-79-92902-1, doi:10.2760/25859, JRC112670.
Publications Office of the European Union, Luxembourg, Luxembourg
  • Crop calendars are a fundamental component of agricultural production monitoring systems since they help analysts to focus on the seasons when different crop types are actually growing in the field. The Earth Observation based early warning system ASAP (Anomaly hot Spots of Agricultural Production) uses land surface phenology (LSP) metrics as proxy for crop calendars and applies parameters, such as the start and end of the season (SOS and EOS respectively) to define the period of active agricultural vegetation growth at pixel level. However, such information is not crop specific and it remains therefore relevant to use crop calendars from independent sources providing crop specific key phenological timings, such as sowing, growing and harvesting. Several institutions, including FAO and USDA make available crop calendars at the national level, which are widely used for agricultural monitoring.

    The LSP derived SOS and EOS metrics can be associated with sowing and harvesting from such crop calendars. This report describes a method for the attribution of each growing season derived from LSP to a crop type listed in existing crop calendars. Based on a set of rules, we compare the growing seasons derived from LSP with the timings of the crop calendars, and select those crops where a match between LSP and crop calendar information is found. Agricultural statistics, including harvested area and production, are used in order to verify the correct identification and relevance of crop types by country.

    The method also allows to downscale the existing national level crop calendars to the sub-national level. It therefore makes available sub-national level crop calendars, which are highly valuable for crop monitoring at that scale. The resulting crop calendars are available in the ASAP download section: https://mars.jrc.ec.europa.eu/asap/download.php

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-asap (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Agriculture, fisheries, forestry and food

dataset theme covering the domains of agriculture which involves the cultivation of plants and livestock; fisheries which focuses on the harvesting of fish from wild or farmed sources; forestry which relates to the management and conservation of forests and woodlands; and food which includes substances that provide nutritional support to organisms

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
Issued date
2018-09-26
Created date
14 Dec 2018 10:39
Modified date
20 Dec 2018 11:33
Landing page
Dataset identifier
Other identifiers
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